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~/backtests/na-dow-l-030 backtest

$ cd /evidence  ·  evidence archive

Backtest evidence

Pisces

code: NA-IDX-041 DowJones_Oanda H1 2006-01-03 → 2026-06-19
net $12,714 trades 680 win 53.82%
Verified · OTS9504fb64daf5…
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at-a-glance --summaryok

$ stats --glance

headline performance at a glance

net_profit
Total net profit $12,714
gross profit$44,657
gross loss$31,943
win_rate
53.82%WIN
█████░░░░░
Win rate
366W / 314L
profit_factor
1.40PF
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Profit factor
gross P / gross L
cagr
4.19%CAGR
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CAGR
annualized
max_drawdown
-13.12%MAX DD
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Max drawdown
$1,840
equity_curve --renderok

$ plot --equity

cumulative account equity over the test window

Stored snapshot: 680 points; starts at $10,414.08, ends at $22,713.89; observed range $10,213.91–$22,713.89.

x: time · y: equity (USD)● rendered by na-backtest-charts

$ plot --drawdown

underwater equity (peak-to-trough), in account currency — risk per trade is a fixed dollar amount, so a percent axis would shrink every year as the balance grew

x: time · y: drawdown (USD)● rendered by na-backtest-charts
trade_breakdown --analyzepartial

$ trades --breakdown

win/loss split, averages, and streaks

win_loss_split
53.82%win
Wins366
Losses314
Total680
win_vs_loss_size
Avg win$122.01
Avg loss$101.73
Largest win$542.08
Largest loss-$205.41
key_ratios
Profit factor1.40
Win/Loss ratio1.17
Payout ratio1.20
Expectancy$18.70
Avg trade$18.70
Bars in trade16.20
streaks
Max consec wins11
Max consec losses9
Avg consec wins2.25
Avg consec losses1.94
Long vs short breakdown and per-trade distributions are not in the ingested dataset yet.
full_statistics --allok

$ stats --full

complete metric set, grouped by category

$12,714
Net profit
$44,657
Gross profit
$31,943
Gross loss
4.19%
CAGR
6.05
AHPR
$636
Yearly avg profit
$52
Monthly avg profit
$1.70
Daily avg profit
6.36%
Yearly avg return
0.68%
Exposure
680
Trades
$18.70
Avg trade
run.configok

$ cat run.config

parameters used for this run

instrumentDowJones_Oanda
timeframeH1
period start2006-01-03
period end2026-06-19
profit in pips21249 ticks
strategyview →
Trading financial instruments carries a high level of risk and may not be suitable for all investors. Past performance — including backtested and simulated results — is not indicative of future results. NeuronAlgo provides research and tooling, not financial advice.
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Generated from stored backtest metrics · NeuronAlgo research desk

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